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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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IT Skills you need to get top jobs in e-commerce

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Technology and digital marketing-related skills are in huge demand as e-commerce companies have got big-ticket investments. IT Skills for e-comm jobs Technologies in Demand Domestic consumption of technology, especially in mobile telephony, is on the rise.  The traditional IT services sector is likely to see a spurt in hiring as demand revives in Europe, along with expected economic turnaround at home. Hot in Demand IT areas According to Teamlease, this category will provide opportunities for a wide range of people: beginning with IT infrastructure managers mobile developers on IOS, Android, and Windows languages like Python, Ruby on Rails, HTML, and CSS  IT security cloud computing professionals. Experience developing applications using technologies such as Java, Node.js, HTML5, JavaScript, SpringBoot, Tomcat, and Selenium.
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2 Top Skills You Need For E-commerce

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The following skills are must for every data analytics engineer to be successful in e-commerce companies. Many software engineers are struggling to get this information. I am giving here both technical and general skills. 1# Technical Skills for Analytics Career What skills they need to be successful in their analytics career. The skills required to get an entry into the Analytics job are here for your reference. I have told in my previous posts that there are many branches in analytics . You need to apply domesticated techniques to extract actionable knowledge. 2# General Skills I have selected the following mindset and skills that you need to get a job in data analytics. These are proven skills. Set a clear goal to acquire these skills. Strong interpersonal, oral and written communication and presentation skills;  Ability to communicate complex findings and ideas in plain language  Being able to work in teams towards a shared goal;  Ability to chan...
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